Job Requirements About Phenom:
Phenom is a global HR-tech platform delivering AI-powered talent experiences for candidates, employees, recruiters, and hiring managers. Our mission is to help a billion people find the right job. At Phenom, you will work with cutting-edge technologies, modern UI frameworks, and a world-class engineering team.
Role Overview
We are seeking a high-caliber Machine Learning Engineer to join our Data Science & Algorithms team. The ideal candidate is a seasoned engineer with a deep mastery of Python and the mathematical foundations required to build world-class AI models. You won’t just be tweaking scripts; you will be designing, productionizing, and scaling sophisticated algorithms for Information Extraction and Probabilistic Matching. If you thrive at the intersection of rigorous research and high-scale software engineering, you’ll be a key player in our mission to help a billion people find the right job.
The Opportunity
Join our Data Science & Algorithms team as a core contributor building the engine that powers our platform. In this role, you won't just build models in a vacuum; you will work alongside PhD-level scientists and veteran engineers to solve "unsolved" problems in information extraction and probabilistic matching. This is a high-impact position where your code directly influences our product’s evolution and scales to meet the demands of a rapidly growing global user base.
What You Will Do
- Architect & Innovate: Design and deploy sophisticated ML models, focusing on Information Extraction and Probabilistic Matching to unlock value from complex datasets.
- Scale for Growth: Take existing algorithms and re-engineer them for massive scale, ensuring our platform remains performant as data volume surges.
- Bridge Research & Production: Translate the latest breakthroughs in NLP and Deep Learning into tangible product features and new user experiences.
- Collaborate Broadly: Act as a technical linchpin between PhD Scientists, Data Engineers, and Product Management to tackle challenges head-on in an agile, fast-paced environment.
- Shape the Future: Participate in strategic discussions to influence the long-term roadmap of our data-driven services.
What You Bring
- The Foundation: 2–4 years of industry experience with a BTech, MS, or PhD in Computer Science, Information Systems, or a related technical field.
- The Toolkit: Advanced proficiency in Python, Java, and Scala. You are a solid engineer who writes production-ready code.
- Mathematical Rigor: A deep-rooted understanding of statistics, probability, and advanced data analytics.
- Domain Expertise: Proven experience with NLP algorithms and Deep Learning frameworks, specifically applied to Information Extraction.
- Big Data Fluency: Hands-on experience building and productionizing end-to-end systems using Spark, Kafka, or Hadoop.
Why You’ll Love It Here
- Startup Velocity: Skip the red tape. We move fast, value agility, and focus on having fun while we build.
- Unmatched Exposure: Work directly with our Executive Leadership team and world-class ML PhDs.
- Rapid Growth: We offer a steep learning curve and the chance to take ownership of massive projects early on.
- Rewards: Competitive startup salary and the opportunity to be part of a future industry leader.
